The Unifying Frequency

The Unifying Frequency We have derived a unified base frequency for 1 AU that reconciles Earth, Moon, and Mercury orbital dynamics through integer-mismatch minimization. This base frequency (f_AU = 9.777739e-05 cpd or 1.131683e-09 Hz) enables coherent cross-domain frequency predictions spanning geophysics, climate, finance, and biology. Key Results: Base Frequency Calibration Optimized f_AU: 9.777739e-05 cycles/day Method: Integer-mismatch grid search over Earth-Moon-Mercury ratios Validation: Cross-checked against JPL Horizons ephemerides MDNA Target Predictions (after integer refit) Mean relative error: 0.0244% Maximum relative error: 0.0886% All 5 MDNA peaks fit within <0.09% error Cross-Domain Validation Successfully predicts frequencies in: finance (weekly/monthly cycles), climate (annual/ENSO), biology (circadian/ultradian) Residual analysis reveals systematic domain-level biases that can be corrected with per-domain scaling Methodological Innovation CUFT-style predictor with integer tuples (m,n,k,op) Reproducible calibration pipeline with full error diagnostics, Residual visualization framework for bias detection Implications: This unified baseline suggests a fundamental frequency architecture linking planetary dynamics to terrestrial and biological periodicities, with potential applications in signal processing, climate modeling, and chronobiology.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-11
DOI
https://doi.org/10.5281/zenodo.17317157
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
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article

The Unifying Frequency

Zenodo (CERN European Organization for Nuclear Research)
Renal Transplantation Outcomes and Treatments
article

The Unifying Frequency

article en

Abstract

The Unifying Frequency We have derived a unified base frequency for 1 AU that reconciles Earth, Moon, and Mercury orbital dynamics through integer-mismatch minimization. This base frequency (f_AU = 9.777739e-05 cpd or 1.131683e-09 Hz) enables coherent cross-domain frequency predictions spanning geophysics, climate, finance, and biology. Key Results: Base Frequency Calibration Optimized f_AU: 9.777739e-05 cycles/day Method: Integer-mismatch grid search over Earth-Moon-Mercury ratios Validation: Cross-checked against JPL Horizons ephemerides MDNA Target Predictions (after integer refit) Mean relative error: 0.0244% Maximum relative error: 0.0886% All 5 MDNA peaks fit within <0.09% error Cross-Domain Validation Successfully predicts frequencies in: finance (weekly/monthly cycles), climate (annual/ENSO), biology (circadian/ultradian) Residual analysis reveals systematic domain-level biases that can be corrected with per-domain scaling Methodological Innovation CUFT-style predictor with integer tuples (m,n,k,op) Reproducible calibration pipeline with full error diagnostics, Residual visualization framework for bias detection Implications: This unified baseline suggests a fundamental frequency architecture linking planetary dynamics to terrestrial and biological periodicities, with potential applications in signal processing, climate modeling, and chronobiology.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 32%
Renal Transplantation Outcomes and Treatments
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The Unifying Frequency · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS